🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) :https://www.edureka.co/microso....ft-certified-azure-s
The "Azure Architect Full Course" provides a thorough overview of essential Azure topics, including computing, networking, storage, security, and more. This Full Course is designed for aspiring Azure architects and provides practical insights into building scalable and secure solutions on the Microsoft Azure cloud platform.
00:00:00 Introduction
00:02:53 What is Azure?
00:14:07 Quiz
00:14:29 How To Create Azure Free Account?
00:20:07 Introduction to Azure Portal
00:35:07 Microsoft Azure Demo
01:09:04 Azure Virtual Machine
01:30:50 Quiz
01:31:14 Microsoft Azure Storage Overview
02:14:21 Azure Active Directory
02:41:18 Azure Load Balancer
03:14:44 Quiz
03:15:06 Azure Firewall
03:44:45 Quiz
03:45:06 Azure App Service
04:02:31 Quiz
04:03:03 Azure Database Services
04:33:49 Azure Data Factory
05:05:14 Quiz
05:05:37 Azure Databricks
05:39:02 Quiz
05:39:24 Azure Data Lake
05:54:05 Quiz
05:54:28 Azure Machine Learning
06:20:54 Introduction To Azure Kubernetes Service (AKS)
07:10:40 ARM Templates
07:38:57 Introduction to Azure IoT
07:57:18 What is Azure Service Bus?
08:54:26 AI on Microsoft Azure
09:07:00 Azure Certifications
09:17:17 How to become an Azure Data Engineer?
09:41:50 Azure Interview Questions And Answers

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
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Song Details:-
00:00 Is Tarah Aashiqui Ka
07:18 Tujhe Na Dekhu Toh Chain
14:19 Hum Pyaar Hai Tumhare
21:21 Tumsa Koi Pyaara
27:01 Yeh Dil Aashiqana
32:48 Soldier Soldier
39:04 Mere Khwabon Mein
43:28 Raah Mein Unse Mulaqat
52:03 Utha Le Jaoonga
56:59 Kasam Khake Kaho
01:02:49 Mohabbat Dil Ka Sakoon
01:08:23 Dil Pardesi Ho Gaya
01:14:27 Barsaat Ke Mausam Mein
01:23:07 Dil Ka Rishta
01:30:41 Jaati Hoon Main
01:37:02 Tere Ishq Mein Nachenge
01:45:13 Kitne Dino Ke Baad Mile
01:51:15 Dekha Tujhe Toh
01:58:44 Kitni Hasrat Hain Humein
02:05:13 Maine Apna Dil De Diya

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Mega Hits 2024 🌱 The Best Of Vocal Deep House Music Mix 2024 🌱 Summer Music Mix 2024 #136
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@ImagineDeep68 @rammor @sensualdeep82 @raylefauneee-THR-Music

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🎶Music By :

🌿Follow Deep Disco Records
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➤https://www.deepdiscomusic.com

00:00:00 | 1. Ace of Base - Beautiful Life (Mentol Remix)
00:02:42 | 2. Zonoma & Sara Farell - Somebody Else
00:06:00 | 3. Sistek - Pitfalls (feat Tudor & Amy J Pryce)
00:09:13 | 4. Shoby - Dance Monkey (Remix)
00:12:14 | 5. Diamonds (Housenick Remix) - Tommy , Pete Bellis
https://youtu.be/e7osfyzMRWs?si=r-L32KsHluLsf3LV
00:17:34 | 6. Deserve It - Housenick
https://youtu.be/Yjr3dPOkNSA?si=savlusDq5oULSj5n
00:21:37 | 7. Don't Close Your Eyes - Millios
https://youtu.be/JOI7a8s9Too?si=JGBC8jqG90F25eGu
00:26:41 | 8. Heaven - Paul Lock
https://youtu.be/qYKktoJdhLc?si=y4HYuMJ4qjaD8AUq
00:32:42 | 9. Lead The Way - NICCKO
https://youtu.be/xpXl_Sb65hg
00:38:04 | 10. My Truth - Housenick
https://youtu.be/1xUdx8dFXqA?si=tqkEguKFM8epEZwz
00:43:43 | 11. Peace In Me - Nando Fortunato
https://youtu.be/gas5I0KyZT4?si=K7LzvcP0q7_t9-Go
00:48:49 | 12. Time Of My Life - NICCKO
https://youtu.be/43jnVkm-NZQ?si=wwXEZsLNQCaq35fX
00:54:01 | 13. Without You (Original Mix) - Housenick
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00:57:57 | 14. Break Away - Costa Mee
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01:01:37 | 15. To Love Again - Nando Fortunato
https://youtu.be/qH_1Irp7nsE?si=MWGhCg9r8YNhgMoo
01:05:50 | 16. Paradise - Pete Bellis & Tommy, Costa Mee
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01:10:01 | 17. Infinity Heart (Marc Philippe Remix) - Nando Fortunato
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01:13:20 | 18. Dance In The Rain - Tommy , Marc Philippe, Pete Bellis
https://youtu.be/c2HxC8ycU3w?si=6E-zTXblmTKhgl4T

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This video is your gateway to understanding Generative AI. We’ll explain what Generative AI is, how it works, and its advantages, along with ethical considerations. Discover Large Language Models like GPT and get hands-on with prompting techniques to create your own LLM app for Android. Explore top AI tools like ChatGPT and GitHub Copilot. Learn advanced concepts like Langchain and RAG. With demos and case studies, this video equips you with the skills to build advanced AI applications. Watch now and enhance your AI journey!

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🏁 Topics Covered:
00:00:00 Introduction
00:01:39 Introduction to Generative AI
00:10:51 Advantages of Generative AI
00:12:12 The Future of Generative AI
00:13:22 Ethical Considerations in Generative AI
00:15:09 Introduction and Phases to LLMs
00:27:57 Introduction to OpenAPI GPT API
00:36:22 Claude 3.5 Sonnet
00:52:58 Claude Artifacts
00:53:52 Demo on Claude Artifacts
01:00:12 Use cases of Claude
01:02:25 Demo on Claude Sonnet
01:18:18 GPT 4o Mini and uses
01:20:26 Why GPT 4o Mini
01:21:39 Features of GPT 4o Mini
01:22:45 Difference between GPT 4o and GPT 4o Mini
01:24:26 Demo on Playground tab, Dashboard tab, Docs tab and API References tab
01:29:06 Prompting on Playground and Billing Settings
01:31:22 Version of Google Gemini
01:38:10 General Prompt Demo Google AI Studio
01:40:33 Structured Prompt in Google AI Studio
01:46:01 Model Tuning in Google AI Studio using System Sample
01:48:28 Other data import options in Google AI Studio using System Sample
01:51:30 Abstract of the Email Generator App
01:51:55 Software Requirements for App
01:54:15 Implementation of the App
02:03:43 Executing the App
02:06:28 Generative AI Popular Tools
02:06:57 ChatGPT
02:07:13 Github Copilot
02:07:26 Claude
02:07:41 Gemini
02:08:27 Basics of Prompt Engineering
02:30:02 Basics of ChatGPT
02:31:06 Demonstration of Prompt on ChatGPT
02:34:37 Python App using ChatGPT 4o
02:41:59 Using ChatGPT 4o for Statistical Analysis
02:49:08 Demonstration of Prompt using ChatGPT 4-o
02:51:12 Portfolio website code execution
02:25:27 Introduction to Github and Github Copilot
03:08:47 Hands-on session on Github Copilot
03:41:34 Introduction of Claude
03:53:24 Prompt Engineering and Install Claude
04:05:03 Hands-on Claude
04:19:13 Program for tic-toe game using Claude
04:21:10 Claude 2 API
04:28:37 Integration of Python and Gemini 1.5 pro
04:35:20 Chatbot using Gemini 1.5 pro
04:53:12 Generative AI Applications
05:06:33 Flask ChatGPT App
05:25:30 Flask Text-to-Image App
05:27:36 Demo - Flask Text-to-Image App
05:36:24 Introduction to Langchain
05:40:18 Why LangChain?
05:45:30 Development Environment Setup of LangChain
05:47:04 Demo on Library Installation
05:49:29 LangChain Core Concepts
05:54:22 LangChain Components
06:00:23 LangChain Case Study
06:09:12 Limitations of LLMs
06:11:04 Introduction to RAG
06:18:08 RAG Basics Concepts and Terminology
06:29:41 Key Components of RAG - Retrieval and Generation
06:38:11 Workflow and Applications of RAG
07:04:17 Hallucinations in RAG
07:12:25 Steps to implement RAG with LangChain
07:25:40 Hands-on RAG in detail

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Episode Summary: MIT professor Andrew W. Lo tackles AI-assisted financial advising, healthcare, and the effect of human behavior on financial markets.

Episode Description: In this the first of two pilot episodes of Chalk Radio with VIDEO, Professor Andrew Lo, who teaches finance at MIT’s Sloan School of Management, knows that many people find financial matters perplexing and scary. Lots of us don’t have a good head for numbers, and besides, how can one get advice and make sound decisions when it’s taboo to discuss one’s finances at all? That’s where a financial advisor is useful–someone who understands the concepts, can crunch the numbers, and has a fiduciary responsibility to look out for your best interests. For many people, hiring a financial advisor might be a financial impossibility, but Prof. Lo and his colleagues are working to develop an AI financial advisor that not only gives ordinary people access to sound financial advice, but acts with real fiduciary responsibility. Large language models can’t do this yet, he says, but the technology is developing fast. Other topics he touches on in this episode include the outsized influence of finance on drug development and global decarbonization and the equally outsized influence of teachers on their students–he names many who changed his own life, from his third-grade teacher in Queens to his professors at college and graduate school.

Subscribe to Chalk Radio on podcast platforms ➜ https://chalk-radio.simplecast.com

Relevant Resources:
MIT OpenCourseWare (https://ocw.mit.edu)
The OCW Educator portal (https://ocw.mit.edu/educator)
Professor Lo’s faculty page (https://mitsloan.mit.edu/facul....ty/directory/andrew-
15.401 Finance Theory I on MIT OpenCourseWare (https://ocw.mit.edu/courses/15....-401-finance-theory-
15.481x Adaptive Markets: Financial Market Dynamics and Human Behavior on MIT Open Learning Library (https://openlearninglibrary.mi....t.edu/courses/course
15.482x Healthcare Finance on MIT Open Learning Library (https://openlearninglibrary.mi....t.edu/courses/course
Music in this episode by Blue Dot Sessions (https://www.sessions.blue/)

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0:01 Intro
0:51 Why Finance Matters
3:02 Inflation, and practical finance applications to mitigate rising costs
5:19 Can ChatGPT reliably plan someone's retirement?
7:54 How to deal with AI hallucinations
9:14 Financial planning - why you need to start early!
9:58 Finances - a taboo topic?
11:07 AI Finance tools and ethics
12:31 Will AI take people's jobs?
13:18 Finance for positive impact on people & healthcare - Andrew's origin story
16:47 How Finance could help Climate
18:48 'It all comes down to money'
19:22 How human behavior affects Finance
19:47 How humans react to a market crash
21:12 Andrew's Adaptive Markets Hypothesis
22:02 How can we counteract irrational human tendencies?
24:00 How Andrew makes finance accessible through his teaching
24:55 Andrew's education and identifying different types of intelligence
28:31 Andrew's learning disorder and how teachers helped him manage it
35:08 Andrew's meaningful memento
38:17 Conclusion


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Credits:
Sarah Hansen, host and producer
Brett Paci, producer
Jackson Maher, producer
Dave Lishansky, producer
Peter Chipman, show notes

MIT 3.020 Thermodynamics of Materials, Spring 2021
Instructor: Rafael Jaramillo

View the complete course: https://ocw.mit.edu/courses/3-....020-thermodynamics-o
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

This first class session introduces entropy and spontaneous processes, molecular interactions, and enthalpy, as well as the scope and use of thermodynamics.

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Reviewing Lambda and Razer's Tensorbook, a laptop aimed at deep learning, with 16GB of VRAM (GPU memory), 64GB of RAM, 2TB of NVMe storage and an 8-core intel i7 11800H CPU.
https://lambdalabs.com/deep-le....arning/laptops/tenso

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This video explains the Transformer architecture in a very detailed way, including most math formulas in the paper, and the neural network operations behind it. The Transformer is the foundation of many powerful language models like BERT, GPT3, RoBERTa, XLNET, ELECTRA, T5. Understanding how it works in detail might help you modify, optimize, or improve it in the way you want.


Connect
Linkedin https://www.linkedin.com/in/xue-yong-fu-955723a6/
Twitter https://twitter.com/home
Email [email protected]

0:00 - Intro
1:10 - Architecture overview
1:56 - Encoder
3:58 - Residual connection & layer normalization
6:59 - Decoder
11:14 - Attention mechanism
14:30 - Scaled dot-product attention
20:22 - Learned projection layers
26:32 - Multi-head attention
28-39 - Encoder-decoder attention
31:18 - Encoder self-attention
31:34 - Decoder self-attention
33:58 - Position-wise feedforward network
36:41 - Word embedding
39:34 - Positional encoding
47:37 - Why self-attention

What Is GPT-3 Series
https://www.youtube.com/playli....st?list=PLoS8jSwcU-c

Paper: Attention Is All You Need
https://arxiv.org/abs/1706.03762

Abstract
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The best
performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 English- to-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.0 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature. We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data.

This course is a detailed introduction to system design for software developers and engineers.

Building large-scale distributed systems like Google, Facebook, Amazon, and Twitter requires an in-depth understanding of computer science principles. This allows systems to handle millions of users concurrently despite hardware failures.

We discuss the fundamental concepts of system design in this course like requirement selection, API design, Database Design, Network protocols, Fault-tolerance, design trade-offs, solution tradeoffs, and low-level design.

Gaurav Sen created this course. Check out his channel: @gkcs

You can learn about distributed systems and system design using the following resources:
Designing Data-Intensive Applications by Martin Kleppmann: https://amzn.to/3SyNAOy
System Design Simplified: https://interviewready.io

Let us know your thoughts and suggestions in the comments!

⭐️ Contents ⭐️
⌨️ (0:00:00) What is System Design
⌨️ (0:02:27) Design Patterns
⌨️ (0:04:07) Live Streaming System Design
⌨️ (0:07:42) Fault Tolerance
⌨️ (0:08:32) Extensibility
⌨️ (0:09:49) Testing
⌨️ (0:10:32) Summarizing the requirements
⌨️ (0:11:27) Core requirement - Streaming video
⌨️ (0:14:52) Diagramming the approaches
⌨️ (0:17:12) API Design
⌨️ (0:20:02) Database Design
⌨️ (0:22:32) Network Protocols
⌨️ (0:29:07) Choosing a Datastore
⌨️ (0:32:57) Uploading Raw Video Footage
⌨️ (0:34:37) Map Reduce for Video Transformation
⌨️ (0:39:24) WebRTC vs. MPEG DASH vs. HLS
⌨️ (0:41:55) Content Delivery Networks
⌨️ (0:42:27) High-Level Summary
⌨️ (0:44:48) Introduction to Low-Level Design
⌨️ (0:47:00) Video Player Design
⌨️ (0:49:17) Engineering requirements
⌨️ (0:50:32) Use case UML diagram
⌨️ (1:02:32) Class UML Diagram
⌨️ (1:06:27) Sequence UML Diagram
⌨️ (1:11:49) Coding the Server
⌨️ (1:24:23) Resources for System Design

🎉 Thanks to our Champion and Sponsor supporters:
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This is a beta sneak peek and part of a four video release, make sure to watch all four segments!

Video 1: https://youtu.be/tG7dsM0hllA
Video 2: https://youtu.be/-dVCfczFgEw
Video 3: https://youtu.be/YjDOxcURUpk
Video 4: https://youtu.be/W-pkMkTSu0A

Photoshop will soon harness the power of Artificial Intelligence into their program by way of Generative Fill. Easily remove objects, use inpainting to generate new elements right in your image, use outcropping to effortlessly extend your image canvas, or replace the background all together with Photoshop's new AI powered Generative Fill features.
Kristina will also cover speeding up any task you have, by using the contextual task bar.

Kristina's top 20 Photoshop Retouching Tips E-book: https://www.sharkpixel.com/20-ps-retouching-tips

ChatGPT has taken the world by storm and GPT4 is out soon. While that’s great, wouldn't you like to run your own chatbot, locally and for free (unlike GPT4)? No more queues, nothing to pay, a choice of models and the ability to create your own characters? What’s that? It doesn’t even need a GPU? Sounds too good to be true? Welcome to the text-generation-webui! A gradio web UI for running Large Language Models like GPT-J 6B, OPT, GALACTICA, LLaMA, Pygmalion and many, many more! Whisper and TTS included, allowing you to speak to your characters and have them speak back too.

As with anything AI, you’ll have the very best experience of a simple, error free install every time on Linux.
For Microsoft Windows the exact same steps should also work, but as any Windows user knows anything could go wrong at any time!
As for Mac - not sure!

Thanks to huggingface there is a massive library of models, many with Open Source licenses just ready for you to use! Create any custom character you like and take it for a spin - even with just 8GB VRAM. Some models work with much less too 😀

If you don’t like standard installations, you can also use the obfuscated method. It’s just 3 steps:
1. Install using the 1-click installer
2. Download your model(s)
3. Start the webui!

See the pinned tweet for more links ;)

I’m pretty sure everyone will want to try this, so expect to see lots more of this interface as others catch on! Just remember where you saw it first - right here on the Nerdy Rodent channel!

== Links! ==
* Installing Anaconda for MS Windows Beginners - https://youtu.be/OjOn0Q_U8cY
* How do I create an animated SD avatar? - https://youtu.be/Z7TLukqckR0
* Stable Diffusion Playlist! - https://youtube.com/playlist?l....ist=PLjC8P1vEncQDVOC

== Stable Diffusion Playlists ==
* Interested in adding things to your AI Art? Try these!
Dreambooth Playlist - https://youtube.com/playlist?l....ist=PLjC8P1vEncQD-QY
* Textual Inversion Playlist - https://youtube.com/playlist?l....ist=PLjC8P1vEncQDSDL

Note that GitHub repositories update often! Be sure to check the GitHub README for the current info ;)m

In this talk, we will cover the basics of Reinforcement Learning from Human Feedback (RLHF) and how this technology is being used to enable state-of-the-art ML tools like ChatGPT. Most of the talk will be an overview of the interconnected ML models and cover the basics of Natural Language Processing and RL that one needs to understand how RLHF is used on large language models. It will conclude with open question in RLHF.

RLHF Blogpost: https://huggingface.co/blog/rlhf
The Deep RL Course: https://hf.co/deep-rl-course
Slides from this talk: https://docs.google.com/presen....tation/d/1eI9PqRJTCF
Nathan Twitter: https://twitter.com/natolambert
Thomas Twitter: https://twitter.com/thomassimonini

Nathan Lambert is a Research Scientist at HuggingFace. He received his PhD from the University of California, Berkeley working at the intersection of machine learning and robotics. He was advised by Professor Kristofer Pister in the Berkeley Autonomous Microsystems Lab and Roberto Calandra at Meta AI Research. He was lucky to intern at Facebook AI and DeepMind during his Ph.D. Nathan was was awarded the UC Berkeley EECS Demetri Angelakos Memorial Achievement Award for Altruism for his efforts to better community norms.

🔥 Data Analytics Bootcamp(US Only): https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=PowerBi-IydphZy_Pfo&utm_medium=Descriptionff&utm_source=youtube
🔥 Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=PowerBi-IydphZy_Pfo&utm_medium=Descriptionff&utm_source=youtube

In this video on the Power BI full course, we'll learn the basics of power bi and understand the different components of Power B, how to use Dax functions to derive value out of your data, and how to publish dashboards on to the power bi service.

Dataset Link - https://drive.google.com/drive..../folders/1De_OsIU_M_

🔥Explore our FREE Courses: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=PowerBiFullCourse&utm_medium=Description&utm_source=youtube

🔥Free PowerBI Course: https://www.simplilearn.com/learn-power-bi-basics-free-course-skillup?utm_campaign=PowerBIFullCourse&utm_medium=Description&utm_source=youtube

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

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#PowerBiFullCourse #PowerBiTutorialForBeginners #PowerBiCourse #LearnPowerBi StepByStep #PowerBi #TableauTrainingVideos #PowerBiTutorial #Simplilearn

➡️About Caltech Data Analytics Bootcamp
The Caltech Data Analytics Bootcamp is ideal for working professionals from all backgrounds. Develop core skills such as mastering Excel, creating data-driven presentations, data manipulation with SQL, analyzing data with Python, and data visualization with Tableau. Learn data analysis with tools such as AWS.

✅Key Features
- Simplilearn Career Service helps you get noticed by top hiring companies
- Data Analytics Bootcamp Certificate from Caltech CTME
- Caltech CTME Circle Membership
- Online Convocation by Caltech CTME Program Director
- Access to integrated Data Analytics Labs

✅Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analytics using Python
- Data Visualization with Tableau
- Linear and Logistic Regression
- Data Manipulation
- & more

Learn more at: https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=PowerBi-IydphZy_Pfo&utm_medium=Descriptionff&utm_source=youtube

For more information about Simplilearn’s courses, visit:
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- Telegram Desktop: https://web.telegram.org/#/im?....p=@simplilearnupdate

Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Learn how to earn a free C# certification! freeCodeCamp has teamed up with Microsoft up to bring you a new free professional certification: the Foundational C# Certification. The course is a text based course, not a video course. This professional certification includes 35 hours of text-based training and interactive coding challenges all from Microsoft, and also an online certification exam by freeCodeCamp. In this video, freeCodeCamp team member @GavinLon will preview the course, along with telling you everything you need to do to take this free course.

💻 Access the course and certification here: https://www.freecodecamp.org/l....earn/foundational-c-

🔗 .NET Home Page: https://dotnet.microsoft.com/
🔗 Community Page: https://dotnet.microsoft.com/platform/community
🔗 Beginner Videos: https://dotnet.microsoft.com/learn/videos
🔗 MS Learn for .NET: https://learn.microsoft.com/training/dotnet/
🔗 Docs: https://learn.microsoft.com/dotnet/

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:05:09) Overview of how to acquire the Foundational C# with Microsoft Developer Certificate
⌨️ (0:09:34) In depth guide through Part1, Module1 (Write your first C# code)
⌨️ (0:48:42) Configure and Install Visual Studio Code and Install .NET 7 SDK
⌨️ (1:04:08) Code Example - if, else, else if statements in C#
⌨️ (1:10:43) Code Example -switch-case construct in C#
⌨️ (1:17:52) Code Example - write your first C# method
⌨️ (1:25:40) Gavin Lon takes the Foundational C# with Microsoft Developer Certification exam
⌨️ (1:27:46) Recommended content to continue your C# and .NET education upon finishing the certification
⌨️ (1:29:29) Conclusion

🎉 Thanks to our Champion and Sponsor supporters:
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Read hundreds of articles on programming: https://freecodecamp.org/news

Помощь проекту: https://vertdider.tv/to-support-us/

В предыдущем видео мы узнали, что поднять над головой гриф с тяжёлым диском на конце проще, если этот диск вращается. Но почему так? Неужели вращение как-то уменьшает массу объекта? Разбираемся вместе с Дереком с канала Veritasium.

Это антигравитация? #1 Задача: https://youtu.be/UCsqV-d_joA

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Леонид Вокин
Озвучка: Дмитрий Чепусов, Юрий Катарманов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider.
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Nick Denizhenko, Oleksii, Yegor Barakovskiy, mrwiseguy351, Ігор Дорохов, Mikhail Stolpovskiy, Aleksandr, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Nadia Kilgishova, Роман Чурин, Aiorraro, Евгений Сельменев, Alex Afalex, Anton Kudashov, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Данил Рягузов, Михаил Панькин, Anton Makiievskyi, Максим 'Sheridan' Горлов, Katoto Chan, F23D24, Alexey, Марина Малинкина, Dmitry Khlan, Галина Баринова, Yaroslav Kyrylchuk, Познающий, Ирина Анатольевна Чулкова, kotov.pr, Pavel Golovin, Stanislav K, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Sultan Ishankulov, Dim iONkinberg, Mike Sviblov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ольга Канкулова, Alexander, Viktor Lova, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Евгений Миф, Виталий Пастушенко, Serj Kravchuk, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Pavel D, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Oleg Streltsov, Olga Podolskaya, Alexey Kukushkin, Пугачёв Пётр, Olga Shistareva, Kamerton_440, Alex Katkov, Irina Shakhverdova, Vladimir Grachev, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Evgeny Vrublevsky, Ihar Marozau, Александр Фалалеев

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© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/tLMpdBjA2SU

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